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Mollie is a European fintech company serving 250,000+ businesses with payment and money management solutions. The Analytics Engineering team plays a critical role in Mollie's financial ecosystem, ensuring data integrity across complex money movement processes and enabling daily reconciliation of the company's books.
In this role, you will build and maintain dbt data models that transform raw source data into consumable mart tables powering dashboards for critical payment metrics and payment method performance tracking. You'll develop and maintain BI tooling that enables end users to easily visualize and extract needed data. Close collaboration with engineering teams is essential to understand Mollie's money movement architecture and ensure data accuracy.
You will partner with stakeholders across Merchant Finance, Treasury, and the Payments domain to define and track key financial data, supporting daily reconciliation workflows. You'll create data quality validation checks, testing frameworks, and proactive monitoring to maintain high trust in analytical data. Beyond technical work, you'll mentor team members on analytics best practices and maintain clear, accessible documentation.
Your responsibilities include communicating findings through compelling data visualizations, presentations, reports, and memos to both technical and non-technical audiences. You'll contribute to a culture of technical rigor and data literacy within the team.
Mollie emphasizes autonomy, craft, and long-term thinking. The company operates in small teams with real ownership and provides balanced work environments. Growth is personal—the company supports skill development, new challenges, and career progression through regular feedback, transparent salary reviews, and internal mobility.
REQUIREMENTS:
- Strong technical foundation in SQL and Python with experience in data modeling and automation
- Strong experience with dbt; additional experience with BigQuery/GCP and Airflow is a plus
- Ability to zoom out and zoom in to support implementation, often on the same day
- Skilled at stakeholder management, especially across technical and non-technical teams
- Experience in financial data and financial processes is a big plus
- Business-aware, impact-driven, and curious mindset
